Wen Kong1, Jiaoyue Zhang1, Ying Xu2, Li Li3, Qin Li4, Li Yang5, Hanyu Wang1, Yu Hu6, Lulu Chen7, An Pan8, Tianshu Zeng9. 1. Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan 430022, China. 2. Department of Endocrinology, The Fifth Hospital of Wuhan, Wuhan 430050, China. 3. Department of Endocrinology, Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430063, China. 4. Department of Endocrinology, General Hospital of the Yangtze River Shipping, Wuhan 430010, China. 5. Department of Endocrinology, Hankou Hospital of Wuhan City, Wuhan 430012, China. 6. Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Clinical and Research Centre of Thrombosis and Haemostasis, Wuhan, China. 7. Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan 430022, China. Electronic address: cheria_chen@126.com. 8. Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: panan@hust.edu.cn. 9. Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan 430022, China. Electronic address: tszeng@126.com.
Dear Sir,Since December 2019, a novel coronavirus outbreak occurred in Wuhan and quickly spread to other parts of China as well as all over the world. It was reported that diabetes might be associated with higher risk of mortality among severe COVID-19 cases [1,2].To investigate the clinical course and outcomes of patients with type 2 diabetes (T2DM) and COVID-19, we collected data from five designated hospitals between January 3th, 2020 and February 3th, 2020, in Wuhan, China. A total of 47 patients were included in the analysis.The median age of these patients was 61.00 years (range, 38–95 years), and 23 (48.94%) were male. Slightly more than half (n = 25; 53.19%) had at least another chronic comorbidity, besides diabetes. For the primary outcome, among these patients, 9 (19.15%) patients had died, due to the development of organs dysfunction. Seven of these nine (77.78%) patients were male. The median duration from admission to death was 7.00 (range, 2–19 days) days in the non-survivors. Compared with survivors, non-survivors were older (80.00[range, 49–95 years] vs. 60.50[range, 38–91 years]), and were more likely to have chronic medical illnesses (66.67% vs. 50.00%). Palpitation (44.44% vs 2.63%) were more likely to be reported by non-survivors. Moreover, our data showed lymphocytopenia occurred in 30 (63.83%) patients, with a significant decrease (0.60[0.57,0.72] vs.0.96[0.63,1.25]) in non-survivors. Both total bilirubin (12.70[8.90,24.00] vs. 9.03[6.40,11.55]) and direct bilirubin (8.46[3.65,13.85] vs. 3.00[2.43,4.25]) were significantly increased in non-survivors. These were accompanied by significantly prolonged prothrombin time (14.00[13.60,16.20] vs. 12.80[11.85,14.05]) and increased D-dimer concentration (1.54[1.23,4.83] vs. 0.56[0.31,0.92]). On the other hand, elevated blood ureanitrogen (6.51[5.10,8.71] vs. 4.67[3.75,6.42]), serum creatinine (Cr) (96.50[80.00,101.00] vs. 71.00[54.00,81.00]), and decreased eGFR (65.20[53.38,75.72] vs. 91.60[72.19,106.89]) were observed in non-survivors compared to survivors. These observations were associated with increased serum potassium concentration (4.17[3.78,4.57] vs. 3.82[3.54,3.99]) in non-survivors. No statistical differences in the four parameters relating to blood lipids were found between survivors and non-survivors. Medications for treatment of T2DM or COVID-19 were not different between survivors and non-survivors. Additionally, a Cox regression model was applied to evaluate the time-dependent hazards of developing death, finding that age, FPG, and total bilirubin concentration represented the highest risk factors for non-survival in diabeticpatients with COVID-19. (See Table 1
)
Table 1
Cox regression model for identifying risk factors for death in diabetic patients with confirmed COVID-19.
Variables
Univariate
P value
Multivariate
P value
OR
LL
UL
OR
LL
UL
Age
1.06
1.01
0.11
0.02
1.36
1.06
1.75
0.02
Gender (male)
0.28
0.06
1.33
0.11
CKD
0.16
0.02
1.33
0.09
Respiratory diseases
4.17
0.85
20.48
0.08
Fasting plasma glucose
1.10
1.03
1.18
0.01
1.52
1.06
2.17
0.02
Leucocytes
1.22
0.96
1.56
0.11
Hemoglobin
1.00
0.96
1.03
0.77
Neutrophils
1.23
0.99
1.53
0.06
Lymphocytes
0.15
0.18
1.25
0.08
Total bilirubin
1.09
1.03
1.15
0.01
1.65
0.95
1.20
0.01
eGFR
0.97
0.94
1.00
0.02
1.07
0.98
1.16
0.14
K+
3.05
0.94
9.87
0.06
Ca2+
0.03
0.00
2.34
0.11
C-reative protein
1.01
0.99
1.02
0.52
D-dimer
1.07
1.02
1.13
0.01
1.07
0.95
1.20
0.30
Fibrinogen
0.82
0.50
1.36
0.45
Cox regression model for identifying risk factors for death in diabeticpatients with confirmed COVID-19.Our study has several limitations. First, the sample size is limited. Second, this is a retrospective study, and some specific information related to diabetic state was not collected on admission, such as HbA1C, and duration of diabetes. However, the data in this study permit a preliminary assessment of the clinical course and outcomes of diabeticpatients with COVID-19. Most importantly, this study indicated that older T2DM patients with poor control of fasting plasma glucose and elevated total bilirubin are at increased risk of death.Further efforts are still needed to collect more data on both patients with diabetes and those without diabetes to better characterize the clinical features of patients with diabetes and COVID-19, and inform the best treatment strategy to reduce the possibility of becoming critical cases and improve the prognosis [3].